248 Open source projects that are alternatives of or similar to vqvae-2

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Repository for implementation of generative models with Tensorflow 1.x

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Implementation of the framework described in the paper Spectrogram Inpainting for Interactive Generation of Instrument Sounds published at the 2020 Joint Conference on AI Music Creativity.

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Code for the paper "Jukebox: A Generative Model for Music"

Protein function prediction using a variational autoencoder

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

A Tensorfflow implementation of Attend, Infer, Repeat

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Collection of generative models in Tensorflow

Variational Autoencoder trained by Feature Perceputal Loss

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Torch Implemention of ECCV'16 paper: Attribute2Image

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

Assessing Generative Models via Precision and Recall (official repository)

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

The SimNets Architecture's Implementation in Caffe

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Invariant representation learning from imaging and spectral data

Conditional out-of-distribution prediction

Building Virtual Reality Worlds using Three.js

Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Neural Relation Understanding: neural cardinality estimators for tabular data

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Tensorflow-based framework to ease training of generative models

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

PyTorch study

EfficientMORL (ICML'21)

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

dcgan combined with vae in pytorch!

Playing with MNIST. Machine Learning. Generative Models.

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

No description or website provided.

Improving MMD-GAN training with repulsive loss function

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

Stacked Generative Adversarial Networks